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Abstract
We propose an abduction-based formalism that uses description logics for the ontology and Horn rules for defining the space of hypotheses for explanations, and we use Markov logic to define the motivation for the agent to generate explanations on the one hand, and for ranking different explanations on the other. The formalism is applied to media interpretation problems in a agent-oriented scenario.
Original language | English |
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Title of host publication | RR 2010: Web Reasoning and Rule Systems |
Number of pages | 13 |
Volume | 6333 |
Publisher | Springer Vieweg, Berlin Heidelberg |
Publication date | 08.11.2010 |
Pages | 182-194 |
ISBN (Print) | 978-3-642-15917-6 |
ISBN (Electronic) | 978-3-642-15918-3 |
DOIs | |
Publication status | Published - 08.11.2010 |
Event | 4th International Conference on Web Reasoning and Rule Systems - Bressanone/Brixen, Italy Duration: 22.09.2010 → 24.09.2010 Conference number: 82135 |
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Dive into the research topics of 'A probabilistic abduction engine for media interpretation based on ontologies'. Together they form a unique fingerprint.Projects
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Probabilistic preference measures for knowledge-based scene interpretation
Neumann, B. (Principal Investigator (PI)) & Möller, R. (Associated Staff)
01.01.07 → 31.12.12
Project: DFG Projects › DFG Individual Projects